Laboratory data were widely used for diagnosis of diseases, monitoring of patients and prognosis of patient's care. However, these data were empirically used for the diagnosis. In this project, we established the logical frame of the algorism effectively using the accumulated laboratory data from three view points.One is the establishment of reliability of laboratory data employing the quality assurance programme in laboratory. The design for the laboratory examination is most important and should be assisted by the laboratory system. The monitoring and assessment of an individual patient's laboratory data should be supported by laboratory system partially equipped artificial intelligent. Finally, the patient's data records including laboratory data and diseases state must be provided. Second is the complete supplies of data reference systems in hospitals. The third is the categorizing of laboratory data in each disease state. The algorism effectively screening the patients with tumor was established employment of a data file accumulated in the laboratory. Further categorizing of laboratory data was now investigated.Further expansion of co-operation and investigation ane required, to establish a useful assistant system for laboratory medicine.